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Predictive Analytics
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May 6, 2017

What is Predictive Analytics ?

What is Predictive Analytics? Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. It uses a number of data mining, predictive modeling and analytical techniques to bring together the management, information technology, and modeling business process to make predictions about future. The patterns found in historical and transactional data can be used to identify risks and opportunities for future. [...]

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April 26, 2017

Top 30 Predictive Analytics Software API

Top 34 Predictive Analytics Software API : Top 34 Predictive Analytics Software API including AgilOne Predictive Marketing Cloud, Anaconda, Apigee, BigML, Blue Yonder Platform, Dataiku, Datumbox, Ersatz, Google Cloud Prediction API, GraphLab Create, H2O.ai, indico, InsideView, Intuitics, KNIME, Lattice Engines, LinkedIn Sales Navigator, Logical Glue, Lumiata, Microsoft Azure Machine Learning, PredicSis, Predixion Insight, Prelert, RapidMiner, SalesForceIQ, Swift, Versium Predictive Scores, Yottamine, Zementis, Zilliant, Datagami, Openscoring.io, PredictionIO, and INRIX are some of the top Predictive Analytics Software API in alphabetical order.
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April 25, 2017

What is Predictive Modeling ?

Predictive modeling is the process of creating, testing and validating a model to best predict the probability of an outcome. A number of modeling methods from machine learning, artificial intelligence, and statistics are available in predictive analytics software solutions for this task. The model is chosen on the basis of testing, validation and evaluation using the detection theory to guess the probability of an outcome in a given  set amount of input data. Models can use one or more classifiers in trying to determine the probability of a set of data belonging to another set. The different models available on the Modeling portfolio of predictive [...]

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April 10, 2017

Top 34 Free Data Analysis Software

Top 34 Free Data Analysis Software : List of 34 + top data analysis freeware software solutions including ELKI, ITALASSI, R, Data Applied, DevInfo, Tanagra, Waffles, Weka, Encog,RapidMiner, PAW, SCaVi, ILNumerics.Net, ROOT, Julia, MOA, NumPy, SciPy, KNIME, NetworkX, matplotlib, IPython, SymPy, Scilab, FreeMat, jMatLab
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April 8, 2017

Top 9 Predictive Pricing Platforms

Predictive Pricing Platforms : Predictive Pricing Platforms uses data science and machine learning to produce competitive pricing by considering a number of internal and external parameters such as competitor pricing, market, demand and supply. These are software-as-a-service-based, B2B solutions which can be integrated with customers e commerce systems and different from conventional pricing intelligence solutions which are rules based, in their use of data science and machine learning algorithms to increase sales and improve profits and margins. Blue Yonder Platform, ECOPA Prezzu, Model N, PriceGrid, Prisync, PROS, Retalon, Upstream Commerce, Zilliant [...]

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April 4, 2017

Top 23 Predictive Lead Scoring Software

23 Predictive Lead Scoring Software: Lead scoring is a very useful system for measuring a prospect’s likelihood of buying. Lead scoring is used to rank prospects against a scale that represents the perceived value each lead represents to the organization. The resulting score is used to determine which leads will engage and in the order of priority. A score can be arrived by considering the prospect’s previous interactions with the organisation along with other external data points and signals, such as demographics and prospects behaviour attributes from various other data sources. This can be achived by connecting organisations customer relationship [...]

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April 1, 2017

Top 30 Artificial Neural Network Software

Artificial Neural network software apply concepts adapted from biological neural networks, artificial intelligence and machine learning and is used to simulate, research, develop Artificial Neural network. Neural network simulators are software applications that are used to simulate the behavior of artificial or biological neural networks which focus on one or a limited number of specific types of neural networks. They are typically stand-alone and not intended to produce general neural networks that can be integrated in other software. Simulators usually have some form of built-in visualization to monitor the training process and some simulators also [...]

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April 1, 2017

DeepLearningKit

DeepLearningKit is an Open Source with Apache 2.0 License. It is a Deep Learning Framework for Apple’s iOS, OS X and tvOS that is available at github.com/DeepLearningKit/DeepLearningKit. The goal is to support using pre-trained Deep Learning models on all Apple’s devices that have GPU(s). It is developed in Swift to easily run on all platforms such as iOS, OS X and tvOS and Metal to efficiently use on-device GPU to ensure low-latency Deep Learning calculations.DeepLearningKit currently supports using (Deep) Convolutional Neural Networks, such as for image recognition, trained with the Caffe Deep Learning Framework but the long term goal is to support [...]

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